Boat Dataset for Object Detection

Overview

This dataset contains images of boats for object detection tasks. It can be used to train and evaluate object detection models.

Dataset Structure

Data Instances

A data point comprises an image and its object annotations.

Data Fields

image_id: the image id
width: the image width
height: the image height
objects: a dictionary containing bounding box metadata for the objects present on the image
- id: the annotation id
- area: the area of the bounding box
- bbox: the object's bounding box (in the coco format)
- category: the object's category, with possible values including BallonBoat (0),BigBoat (1),Boat (2), JetSki (3), Katamaran (4), SailBoat (5), SmallBoat (6), SpeedBoat (7), and WAM_V (8).

Data Splits

Training dataset (42833) - real - WAM_V (2333) - virtual - BallonBoat (4500) - BigBoat (4500) - Boat (4500) - JetSki (4500) - Katamaran (4500) - SailBoat (4500) - SmallBoat (4500) - SpeedBoat (4500) - WAM_V (4500)

Val dataset (5400) - real - WAM_V (900) - virtual - BallonBoat (500) - BigBoat (500) - Boat (500) - JetSki (500) - Katamaran (500) - SailBoat (500) - SmallBoat (500) - SpeedBoat (500) - WAM_V (500)

Usage

from datasets import load_dataset
dataset = load_dataset("zhuchi76/Boat_dataset")

Citation

If you use this dataset in your research, please cite the following paper: